System manufacturer System Product Name
Geekbench AI Score
3455
Single Precision Score
1523
Half Precision Score
5778
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Magnusai |
| Upload Date | January 12 2026 06:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2748
511.0 IPS |
|
|
Image Classification (HP)
|
100% |
550
102.3 IPS |
|
|
Image Classification (Q)
|
96% |
5069
946.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
760
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
6897
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6553
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
5258
6.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
15546
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2559
203.0 IPS |
|
|
Object Detection (HP)
|
100% |
698
55.4 IPS |
|
|
Object Detection (Q)
|
58% |
4034
440.7 IPS |
|
|
Face Detection (SP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
1437
17.1 IPS |
|
|
Face Detection (Q)
|
96% |
8811
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7447
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2149
16.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12145
96.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15866
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13107
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
19055
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1841
68.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3437
127.4 IPS |
|
|
Text Classification (SP)
|
100% |
1426
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
683
911.2 IPS |
|
|
Text Classification (Q)
|
97% |
1114
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2427
46.9 IPS |
